{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Garimpagem de Dados\n",
    "\n",
    "## Aula 2 - Matplotlib\n",
    "\n",
    "06/10/2017"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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n7mewi/9SoR9n4tx49hzKZfY9Z2lghUuVHZRx+SvfkVtYzJ7MXFpGhfPwxZ0J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\nIuISKnQREZdQoYuIuIQKXUTEJf4fZ99KWe5xnqsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb202233ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y = [1, 7, 3, 5, 12]\n",
    "x = [1, 2, 3, 4, 5]\n",
    "plt.plot(x, y, marker='o');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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R4fzunG7cOOIUNZQQr1JBr6evV+3k7fmbueXMU9Swwk/VbJRx85s/8MJViYzq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\nkFBBFxEJEv8PKLvacUvX52kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb202233c88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, marker='o')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAD2tJREFUeJzt3V1spOdZxvHrImtw87GkaEchZFOmB6iSiSoSjaJQoxAl\nLQpbq+EgB6lIPwzSqghBCkhRA5IjfLJIoLrAAWiVZBrUNBVKE6ispqppU0UdkUXjTWg23sit2Gm7\nYdudtiIuFKsOvTnwjDWe2J6Pd2bemcf/n2TtvPM+9nPrWfvy43vemXFECAAw+X4q7wIAAINBoANA\nIgh0AEgEgQ4AiSDQASARBDoAJIJAB4BEEOgAkAgCHQAScWSUkx07diyKxeIopwSAibe6uvq9iCh0\nGjfSQC8Wi6pWq6OcEgAmnu1vdjOOlgsAJIJAB4BEEOgAkAgCHQASQaADwJC0v9/EsN9/omOg237M\n9mXb51ru+0vbr9r+mu1nbF871CoBYMIsraxrcXltJ8QjQovLa1paWR/anN3s0D8p6e62+1Yk3RQR\n75S0LumhAdcFABMrIrSxuaVypbYT6ovLaypXatrY3BraTr3jdegR8bztYtt9X2w5fEHSvYMtCwAm\nl20tzM1IksqVmsqVmiRpfraohbkZ2R7KvIPoof+OpGf3O2n7pO2q7Wq9Xh/AdAAw/lpDvWmYYS5l\nDHTbfybpDUlP7DcmIk5HRCkiSoVCx2euAkASmm2WVq099WHoO9Btf1jSnKTfjmE/dAsAE6S1Zz4/\nW9SFUyc0P1vc1VMfhr5ey8X23ZIelPTrEfGjwZYEAJPNto5OT+3qmTfbL0enp4bWdnGn3xS2n5R0\nh6Rjkr4r6WFtX9XyM5K+3xj2QkR8pNNkpVIpeHEuAIdFROwK7/bjbtlejYhSp3HdXOXy/j3ufrTn\nigDgkGkP72E+ICrxTFEASAaBDgCJINABIBEEOgAkgkAHgEQQ6ACQCAIdABJBoANAIgh0AEgEgQ4A\niSDQASARBDoAJIJAB4BEEOgAkAgCHQASQaADQCIIdABIBIEOAIkg0AEgEQQ6ACSCQAeARBDoAJAI\nAh0AEkGgA0AiCHQASASBDgCJINABIBEdA932Y7Yv2z7Xct/P2V6x/fXGv28dbpkAgE662aF/UtLd\nbfd9TNKXIuKXJH2pcQwAyFHHQI+I5yX9oO3ueyQ93rj9uKTfGnBdAIAe9dtDvy4iLjVuf0fSdfsN\ntH3SdtV2tV6v9zkdAKCTzA+KRkRIigPOn46IUkSUCoVC1ukAAPvoN9C/a/t6SWr8e3lwJQEA+tFv\noH9O0ocatz8k6Z8HUw4AoF/dXLb4pKR/lfQO2xdt/66kv5D0Httfl/TuxjEAIEdHOg2IiPfvc+qu\nAdcCAMiAZ4oCQCIIdABIBIEOAIkg0AEgEQQ6ACSCQAeARBDoAJAIAh0AEkGgA0AiCHQASASBDgCJ\nINABIBEEOgAkgkAHgEQQ6ACQCAIdABJBoANAIgh0AEgEgQ4AiSDQASARBDoAJIJAB4BEEOgAkAgC\nHQASQaADQCIIdABIBIEOAInIFOi2/8j2K7bP2X7S9vSgCgMA9KbvQLd9g6Q/lFSKiJskXSHpvkEV\nBgDoTdaWyxFJb7F9RNKVkv4ze0kAgH70HegR8Zqkv5L0LUmXJL0eEV9sH2f7pO2q7Wq9Xu+/UgDA\ngbK0XN4q6R5Jb5f0C5Kusn1/+7iIOB0RpYgoFQqF/isFABwoS8vl3ZIuREQ9IrYkPS3pXYMpCwDQ\nqyyB/i1Jt9m+0rYl3SXp/GDKAgD0KksP/YykpySdlfRy42udHlBdAIAeHcnyyRHxsKSHB1QLACAD\nnikKAIkg0AEgEQQ6ACSCQAeARBDoAJAIAh0AEkGgA0AiCHQASASBnqCIOPAYQJoI9MQsraxrcXlt\nJ8QjQovLa1paWc+5MgDDRqAnJCK0sbmlcqW2E+qLy2sqV2ra2Nxipw4kLtNruWC82NbC3IwkqVyp\nqVypSZLmZ4tamJvR9otiAkgVO/TEtIZ6E2EOHA4EemKabZZWrT11AOki0BPS2jOfny3qwqkTmp8t\n7uqpA0gXPfSE2NbR6aldPfNm++Xo9BRtFyBxHuWurVQqRbVaHdl8h1VE7Arv9mMAk8X2akSUOo2j\n5ZKg9vAmzIHDgUAHgEQQ6ACQCAIdABJBoANAIgh0AEgEgQ4AiSDQASARBDoAJCJToNu+1vZTtl+1\nfd72rw6qMABAb7K+lstfS/pCRNxr+6clXTmAmgAAfeg70G3/rKTbJX1YkiLix5J+PJiyAAC9ytJy\nebukuqSy7RdtP2L7qgHVBQDoUZZAPyLpFkl/FxE3S/ofSR9rH2T7pO2q7Wq9Xs8wHQDgIFkC/aKk\nixFxpnH8lLYDfpeIOB0RpYgoFQqFDNMBAA7Sd6BHxHckfdv2Oxp33SVp7YBPAQAMUdarXP5A0hON\nK1z+Q9J89pIAAP3IFOgR8ZKkju+iAQAYPp4pCgCJINABIBEEOgAkgkAHgEQQ6ACQCAIdABJBoANA\nIgh0AEgEgQ4AiSDQAXQtIg48Rr4IdABdWVpZ1+Ly2k6IR4QWl9e0tLKec2VoItABdBQR2tjcUrlS\n2wn1xeU1lSs1bWxusVMfE1lfbRHAIWBbC3MzkqRypaZypSZJmp8tamFuRrZzrA5N7NABdKU11JsI\n8/FCoAPoSrPN0qq1p478EegAOmrtmc/PFnXh1AnNzxZ39dSRP3roADqyraPTU7t65s32y9HpKdou\nY8Kj/M1aKpWiWq2ObD4AgxURu8K7/RjDYXs1Ijq+OxwtFwBdaw9vwny8EOgAkAgCHQASQaADQCII\ndABIBIEOAIkg0AEgEQQ6ACSCQAeARGQOdNtX2H7R9vIgCgIA9GcQO/QHJJ0fwNcBAGSQKdBtH5f0\nXkmPDKYcAEC/su7QPyHpQUk/GUAtAIAM+g5023OSLkfEaodxJ21XbVfr9Xq/0wEAOsiyQ5+V9D7b\nNUmfkXSn7U+1D4qI0xFRiohSoVDIMB0A4CB9B3pEPBQRxyOiKOk+SV+OiPsHVhkAoCdchw4AiRjI\nW9BFxFckfWUQXwsA0B926ACQCAIdABJBoANAIgh0AEgEgQ4AiSDQASARBDoAJIJAB4BEEOgAkAgC\nHYdaRBx4DEwSAh2H1tLKuhaX13ZCPCK0uLympZX1nCsD+kOg41CKCG1sbqlcqe2E+uLymsqVmjY2\nt9ipYyIN5MW5gEljWwtzM5KkcqWmcqUmSZqfLWphbka2c6wO6A87dBxaraHeRJhjkhHoOLSabZZW\nrT11YNIQ6DiUWnvm87NFXTh1QvOzxV09dWDS0EPHoWRbR6endvXMm+2Xo9NTtF0wkTzKnUipVIpq\ntTqy+YBOImJXeLcfA+PA9mpElDqNo+WCQ609vAlzTDICHQASQaADQCIIdABIBIEOAIkg0AEgEQQ6\nACSCQAeARBDoAJCIvgPd9o22n7O9ZvsV2w8MsjAAQG+yvJbLG5L+JCLO2r5G0qrtlYhY6/SJAIDB\n63uHHhGXIuJs4/YPJZ2XdMOgCgMA9GYgPXTbRUk3SzoziK8HAOhd5kC3fbWkz0r6aERs7HH+pO2q\n7Wq9Xs86HQBgH5kC3faUtsP8iYh4eq8xEXE6IkoRUSoUClmmAwAcIMtVLpb0qKTzEfHxwZUEAOhH\nlh36rKQPSLrT9kuNjxMDqgsA0KO+L1uMiK9K4t0AAGBM8ExRAEgEgQ4AiSDQASARBDoAJIJAB4BE\nEOgAkAgCHQASQaADQCIIdABIxEQEekQceAwAmIBAX1pZ1+Ly2k6IR4QWl9e0tLKec2UAMF7GOtAj\nQhubWypXajuhvri8pnKlpo3NLXbqANAiy3uKDp1tLczNSJLKlZrKlZokaX62qIW5GW2/gi8AQBrz\nHbq0O9SbCHMAeLOxD/Rmm6VVa08dALBtrAO9tWc+P1vUhVMnND9b3NVTBwBsG/se+tHpqV0982b7\n5ej0FG0XAGjhUe5yS6VSVKvVnj8vInaFd/sxAKTM9mpElDqNG+uWS1N7eBPmAPBmExHoAIDOCHQA\nSASBDgCJINABIBEjvcrFdl3SNzN8iWOSvjegcgaJuro3jjVJ1NUr6upN1rp+MSIKnQaNNNCzsl3t\n5tKdUaOu7o1jTRJ19Yq6ejOqumi5AEAiCHQASMSkBfrpvAvYB3V1bxxrkqirV9TVm5HUNVE9dADA\n/iZthw4A2MfYBbrtx2xftn1un/O2/Te2v2H7a7ZvGZO67rD9uu2XGh8LI6jpRtvP2V6z/YrtB/YY\nM/L16rKuPNZr2va/2f73Rl1/vseYPNarm7pGvl4tc19h+0Xby3ucy+vn8aCa8lyrmu2XG/O+6ZUI\nh75eETFWH5Jul3SLpHP7nD8h6VlJlnSbpDNjUtcdkpZHvFbXS7qlcfsaSeuSZvJery7rymO9LOnq\nxu0pSWck3TYG69VNXSNfr5a5/1jSp/eaP8efx4NqynOtapKOHXB+qOs1djv0iHhe0g8OGHKPpH+I\nbS9Iutb29WNQ18hFxKWIONu4/UNJ5yXd0DZs5OvVZV0j11iD/24cTjU+2h9EymO9uqkrF7aPS3qv\npEf2GTLy9eqipnE21PUau0Dvwg2Svt1yfFFjEBYN72r8GfWs7V8e5cS2i5Ju1vburlWu63VAXVIO\n69X4U/0lSZclrUTEWKxXF3VJ+Xx/fULSg5J+ss/5PNarU01Sfj+LIelfbK/aPrnH+aGu1yQG+rg6\nK+ltEfFOSX8r6Z9GNbHtqyV9VtJHI2JjVPN20qGuXNYrIv4vIn5F0nFJt9q+aRTzdtJFXSNfL9tz\nki5HxOqw5+pWlzXl9rMo6dca/4+/Ken3bd8+wrknMtBfk3Rjy/Hxxn25ioiN5p/NEfF5SVO2jw17\nXttT2g7NJyLi6T2G5LJenerKa71a5v8vSc9JurvtVK7fX/vVldN6zUp6n+2apM9IutP2p9rGjHq9\nOtaU5/dWRLzW+PeypGck3do2ZKjrNYmB/jlJH2w8WnybpNcj4lLeRdn+eXv7rZRs36rttf3+kOe0\npEclnY+Ij+8zbOTr1U1dOa1Xwfa1jdtvkfQeSa+2DctjvTrWlcd6RcRDEXE8IoqS7pP05Yi4v23Y\nSNerm5ryWKvGXFfZvqZ5W9JvSGq/Km6o6zV2bxJt+0ltP0p9zPZFSQ9r+0EiRcTfS/q8th8p/oak\nH0maH5O67pX0e7bfkPS/ku6LxsPaQzQr6QOSXm70XyXpTyW9raWuPNarm7ryWK/rJT1u+wpt/5D/\nY0Qs2/5IS115rFc3deWxXnsag/XqVFNea3WdpGcav0uOSPp0RHxhlOvFM0UBIBGT2HIBAOyBQAeA\nRBDoAJAIAh0AEkGgA0AiCHQASASBDgCJINABIBH/DyZwVLrVW1C5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1ff50ec18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(x, y, marker='x');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIgg6ABRB0AGgCIIOAEUQdAAo4r/PI3j4cwKAcAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1ff4301d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(x, y);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gerando gráfico em PDF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/pdf": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1ff3d6e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%config InlineBackend.figure_format = 'pdf'\n",
    "plt.bar(x, y);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Gerando gráfico em formato PNG"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIgg6ABRB0AGgCIIOAEUQdAAo4r/PI3j4cwKAcAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1ff0a0390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%config InlineBackend.figure_format = 'png'\n",
    "plt.bar(x, y);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5pEoe0Phyqah0vvXIMjYeKOLPV4/g84O7fbSuseVyPInI5bjdX2Y2ETgVGB0sfw1YSuQs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\n/wN3FGKtynLAugAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1ff073358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "anos = [1950, 1960, 1970, 1980, 1990, 2000, 2010]\n",
    "pib = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]\n",
    "plt.plot(anos, pib, marker='o')\n",
    "plt.title('PIB')\n",
    "plt.xlabel('Ano')\n",
    "plt.ylabel(u'Bilhões de R$')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Que versão do matplotlib estamos usando?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2.0.2'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib\n",
    "matplotlib.__version__"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "#### Quais estilos temos disponíveis no Matplotlib?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['ggplot', 'seaborn-notebook', 'seaborn-dark-palette', 'seaborn', 'seaborn-bright', 'grayscale', 'seaborn-whitegrid', '_classic_test', 'seaborn-paper', 'seaborn-white', 'bmh', 'seaborn-deep', 'seaborn-muted', 'seaborn-dark', 'classic', 'seaborn-ticks', 'seaborn-poster', 'seaborn-talk', 'seaborn-pastel', 'seaborn-colorblind', 'fivethirtyeight', 'dark_background', 'seaborn-darkgrid']\n"
     ]
    }
   ],
   "source": [
    "print(plt.style.available)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como resetar os estilos e voltar ao estilo padrão?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcdefaults()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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szARg3MC2RIYGmTyR/1AQEREROUszftxJdn4pcdGhXNOnpdnj+BUFERERkbNQVFbBv77d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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1fef87cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, marker='o')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Como selecionar um estilo?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.style.use('classic')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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48jF/vnUfvdd1vI3EKyASRUdHqy4hYGvWADt3io2fgmVW7uuuEyum9u4tbsdU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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1fed79f28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, marker='o')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "plt.rcdefaults()\n",
    "plt.style.use('seaborn-white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qHUxblAHAhP7tiQoLsngi76SAISIicoyPV+xkT24JjSNCuPn8NlaP47UUMERERKoUlVXy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\nDh8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1feee5fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x, y, marker='o')\n",
    "plt.grid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
